ResolveRent — AI Landlord-Tenant Dispute Resolution by Jibran MalikResolveRent — AI Landlord-Tenant Dispute Resolution by Jibran Malik

ResolveRent — AI Landlord-Tenant Dispute Resolution

Jibran Malik

Jibran Malik

ResolveRent — AI-powered landlord-tenant dispute resolution

ResolveRent helps landlords and tenants settle rental disputes without going to court. Users describe their situation, upload a lease, and the platform produces state-specific guidance, AI-drafted resolution proposals, demand letters, and electronically signed agreements — or a court-ready summary if negotiation fails.

What I built

Intake that starts before signup. The homepage opens with a two-field triage — role (tenant or landlord), dispute type, and state — that produces a free dispute plan with no account and no credit card. Getting value before the signup wall was the central conversion decision on this build.
State-aware workflow engine. All 50 states, each with its own statutes and thresholds, across 7 dispute categories — deposits, repairs, unpaid rent, lease violations, early termination, fees, noise, and unlawful entry. Each dispute type has its own dedicated entry route and parameterised flow.
AI lease analysis. Users upload a lease PDF and get clause extraction, jurisdiction-specific legal context, and a plain-English health score flagging problems like excessive late fees, vague maintenance responsibility, and auto-renewal terms. Built as a standalone free tool as well as part of the dispute flow, so it works as its own acquisition channel.
Guided negotiation with tone-aware messaging. AI generates resolution proposals with legal context for both sides. A moderation layer catches escalatory language before a message is sent — a design response to the fact that these disputes fail more often from tone than from substance.
Document generation. Formal demand letters citing relevant statutes, electronic signature capture for binding agreements, and neutral court-ready case summaries for escalation.
Content and SEO surface. Know Your Rights, blog, FAQ, and lease-check pages built to capture organic search from people actively in a dispute.

Stack

Next.js and React with App Router, dynamic OG image generation, PDF upload and parsing, LLM integration for lease analysis and proposal drafting, e-signature capture, and Meta pixel instrumentation.

Approach

The product problem is that people in a rental dispute are stressed, not shopping. So the build is structured around lowering the cost of the first step: free plan, no signup, under 60 seconds, and a clear statement that nothing is sent without approval. Every dispute type gets its own landing route so search traffic arrives at an exact-match starting point rather than a generic homepage.
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Posted Sep 13, 2026

Next.js platform for resolving landlord-tenant disputes out of court — AI lease analysis, state-aware workflows across all 50 US states, guided negotiation, demand letters and e-signatures.